中文说明：
针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。
English Description：
A new fast algorithm for adaptive chirplet decomposition of signals is proposed in reference [1], which has many unknown parameters and is difficult to implement. The algorithm calculates the quadratic phase function of the signal, and gets the conclusion that the energy distribution is concentrated on the frequency modulation curve of the signal. At this time, the chirplet frequency, time center and amplitude can be estimated simultaneously through the spectrum peak detection. Then the initial frequency and width can be estimated through the de chirp technology. The simulation results verify the effectiveness of the algorithm.